Extraction of control parameters for the voice source in a text-to-speech system

Author

de Veth, J. ; Cranen, B. ; Strik, H. ; Boves, L.

Author_Institution

Nijmegen Univ., Netherlands

fYear

1990

fDate

3-6 Apr 1990

Firstpage

301

Abstract

In order to derive voice source control rules from natural speech, the parameters of a source model must be derived from the acoustic signal. This is done by parameterizing the results of glottal inverse filtering. A number of different inverse filtering procedures and the ease with which their results can be parameterized are compared. It is shown that closed glottic interval covariance linear predictive coding is as powerful as more sophisticated techniques, because it is the only known method that can strictly be limited to the closed glottis interval

Keywords

encoding; filtering and prediction theory; speech recognition; speech synthesis; acoustic signal; closed glottic interval covariance linear predictive coding; control parameters; control rules; glottal inverse filtering; inverse filtering procedures; natural speech; source model; text-to-speech system; voice source; Control systems; Filtering; Frequency measurement; High definition video; Laboratories; Linear predictive coding; Natural languages; Nonlinear filters; Power system modeling; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115641

Filename

115641